Multi-Domain Orchestration for the Deployment and Management of Services on a Slice Enabled NFVI

This paper presents a unique and new scenario where services are deployed across distributed domains, and each domain MANO (for VNF Management and Orchestration) requests and creates an on-demand Data Center slice to run those service elements. Whilst each domain has its own MANO, the MANOs are configured in a north-south way creating a hierarchy of service provision capabilities, rather than configured in the more common peer-to-peer approach. This approach works particularly well where each domain, from the mobile edge, to the core DC, can be managed independently of the others, but needs to be combined to form slices. End-to-end slices across the whole infrastructure provide a more effective resource management and also better support the customers' mobility requirements. The details of the architecture to support this scenario are described

Why Optimize Long Term Groundwater Monitoring Design? A Multiobjective Case Study of Hill Air Force Base

Mathematical tools from the field of optimization have significant potential for reducing longterm monitoring costs and aiding site managers in making informed decisions on sampling strategies for sites undergoing long-term monitoring. A case study is presented that demonstrates the use of a Nondominated Sorted Genetic Algorithm (NSGA) for monitoring design at Hill Air Force Base (AFB). The method combines fate-and-transport simulation (although it can also be used only with historical data), plume interpolation, and adaptive search to identify the tradeoff between monitoring costs and mass estimation error. The method efficiently provides decision makers a direct representation of the tradeoff between monitoring objectives such as cost and error. Additionally, the most and least significant monitoring wells in a preexisting monitoring network are identified

Hydraulic characterization of a fault zone from fracture distribution

A quantitative assessment of how faults control the migration of geofluids is critical in many areas of geosciences. We integrated geological fieldwork, quantitative analysis of the fractures distribution and numerical modeling to build a geometrical representation of a fault zone and to characterize its hydraulic properties. Our target is a fault located in the Majella Mountain (Italy). We collected 21 scan lines across the fault profile in order to characterize its architecture. The numerical modeling of the fracture network of the damage zones and their hydraulic parameters was performed using both commercial (Move (R)) and open source software (dfnWorks and PFLOTRAN). Move (R) was used to build a representative model of the fault zone using fracture spacing as a proxy, and to model the hydraulic parameters of the different fault domains. dfnWorks and PFLOTRAN were employed to infer the hydraulic parameters of the damage zones of the fault and then upscale these properties to an equivalent continuum domain, suitable for fluid flow simulations through the whole fault zone. Our findings show how even in a relatively small area it is possible to describe changes in terms of hydraulic properties of a fault zone and to build models capable to represent these variations